MLNET
NuGet publisher profile
Packages (59)
Microsoft.ML.DataView
Contains the IDataView system which is a set of interfaces and components that provide efficient, compositional processing of schematized data for machine learning and advanced analytics applications.
Microsoft.ML
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
Microsoft.ML.CpuMath
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
Microsoft.ML.OnnxRuntime
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
Microsoft.Data.Analysis
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
Microsoft.ML.Tokenizers
Microsoft.ML.Tokenizers contains the implmentation of the tokenization used in the NLP transforms.
Microsoft.ML.LightGbm
ML.NET component for LightGBM
Microsoft.ML.FastTree
ML.NET component for FastTree
Microsoft.ML.Mkl.Redist
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
Microsoft.ML.OnnxRuntime.Gpu
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
Microsoft.ML.Tokenizers.Data.O200kBase
The Microsoft.ML.Tokenizers.Data.O200kBase includes the Tiktoken tokenizer data file o200k_base.tiktoken, which is utilized by models such as gpt-4o.
Microsoft.ML.TimeSeries
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
Microsoft.ML.Tokenizers.Data.Cl100kBase
The Microsoft.ML.Tokenizers.Data.Cl100kBase class includes the Tiktoken tokenizer data file cl100k_base.tiktoken, which is utilized by models such as GPT-4.
Microsoft.ML.ImageAnalytics
ML.NET component for Image support
Microsoft.ML.TensorFlow
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
Microsoft.ML.OnnxTransformer
ML.NET component for Microsoft.ML.OnnxRuntime.Managed library
Microsoft.ML.Recommender
LIBMF, the core computation library for matrix factorization in ML.NET
Microsoft.ML.Mkl.Components
ML.NET additional learners making use of Intel Mkl.
Microsoft.ML.Vision
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Microsoft.ML.AutoML
ML.NET AutoML: Optimizes an ML pipelineĀ for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
Microsoft.Extensions.ML
An integration package for ML.NET models on scalable web apps and services.
Microsoft.ML.DnnImageFeaturizer.AlexNet
ML.NET component for pretrained AlexNet image featurization
Microsoft.ML.Tokenizers.Data.P50kBase
The Microsoft.ML.Tokenizers.Data.P50kBase includes the Tiktoken tokenizer data file p50k_base.tiktoken, which is utilized by models such as text-davinci-002
Microsoft.ML.DnnImageFeaturizer.ResNet101
ML.NET component for pretrained ResNet101 image featurization
Microsoft.ML.EntryPoints
Microsoft.ML.EntryPoints contains the ML.NET entry point API catalog.
Microsoft.ML.CodeGenerator
ML.NET Code Generator
Microsoft.ML.DnnImageFeaturizer.ResNet50
ML.NET component for pretrained ResNet50 image featurization
Microsoft.ML.DnnImageFeaturizer.ResNet18
ML.NET component for pretrained ResNet18 image featurization
Microsoft.ML.Probabilistic
Infer.NET is a framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. This package contains classes and methods needed to execute the inference code.
Microsoft.ML.TorchSharp
Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp.
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